Faculty Profile

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Prasanna Venkatesan T

Assistant Professor, Computer science engineering, GST, BLR

vprasann@gitam.edu | | | |

Dr. Prasannavenkatesan Theerthagiri was awarded PhD(Full-Time) from Anna University Chennai. He received Bilateral Mobility grant award from Slovenia. Published his research works in 17+ SCI(E) indexed journals, 41+ SCOPUS indexed journals, 10+ national/international conferences, 10+ book chapters in Elsevier, Springer, Wiley, T&F, Emerald, etc. publishers. He is a Reviewer for 10+ SCI Indexed journals. His research interests are Smart Agriculture with AIML & IoT, Healthcare analysis using ML.

Research Publications

Theerthagiri, P., & Devarayapattana Siddalingaiah, S. (2024). RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification. Multimedia Tools and Applications, 1-22.
Theerthagiri, P., Ruby, A. U., & George Chellin Chandran, J. (2024). Prediction and classification of minerals using deep residual neural network. Neural Computing and Applications, 36(4), 1539-1551.
Theerthagiri, P. (2022). Predictive analysis of cardiovascular disease using gradient boosting based learning and recursive feature elimination technique. Intelligent Systems with Applications, 16, 200121.
Theerthagiri, P., & Ruby, A. U. (2022). RFFS: Recursive random forest feature selection based ensemble algorithm for chronic kidney disease prediction. Expert Systems, 39(9), e13048.
Theerthagiri, P. (2021). Forecasting hyponatremia in hospitalized patients using multilayer perceptron and multivariate linear regression techniques. Concurrency and computation: practice and experience, 33(16), e6248.

Ongoing Research Projects

Principal Investigator: DST(NCSTC) - Children Outreach Awareness Programme on Emerging Technologies for Doddaballapura Rural School Students in Karnataka
Principal Investigator: DST(SHRI) recommended - Identification, Preservation Promotion of Indian Heritage Art and Crafts through Deep Learning with e-Marketing
Co-Principal Investigator: DST(PVTGs) recommended - Empowering Jenu Kuruba Community through sustainable smart honey harvesting techniques, skill development, and digital marketing
Principal Investigator: GITAM(MURTI) -Smart Argiculture: Crop Health Management

Expertise

Data Science
Artificial Intelligence
Machine Learning
Statistical Analysis

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About

Prasanna Venkatesan T

Assistant Professor, Computer science engineering, GST, BLR

Research Publications

Ongoing Research Projects

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